TELUS Digital AI Data Solutions’ Post

How does AI help with business intelligence? When used in business intelligence, AI is like a smart assistant that quickly and correctly looks at huge amounts of data to provide useful information. Businesses can use it to make better choices, spot trends, and guess what will happen. Follow me for more insights....!!!

The best information about AI can be found in various sources, but I'll give you a rundown of the most exciting developments and tools. *Top AI Search Engines:* - _ClickUp_: A powerful AI search engine that integrates with workspaces, providing personalized results and task automation.¹ - _Perplexity AI_: A research-specific search engine that offers accurate results, source links, and customizable privacy settings. - _Google Gemini_: A versatile AI search engine with impressive multilingual capabilities, processing text, code, images, and audio. *Key AI Trends:* - _Foundation Models_: IBM is working on developing foundation models that can be scaled up for various applications, making AI more accessible. - _Generative AI_: AI models that can generate text, images, and audio are becoming increasingly popular, with tools like Bing AI and Google Gemini leading the charge. *AI Applications:* - _AI-powered Workspaces_: ClickUp's AI assistant can help with task management, knowledge management, and even generating social media posts. - _Research-specific Search_: Perplexity AI is designed for research-oriented searches, providing accurate results and source links. These are just a few examples of the exciting developments in AI. Whether you're looking for AI-powered workspaces or research-specific search engines, there's something for everyone.

Struggling to analyze financial data efficiently? Discover how AI simplifies and speeds up analysis! Analyzing data swiftly and accurately can make all the difference when your back is up against the wall to make a quick, but informed decision. Artificial Intelligence (AI) has revolutionized the way we handle financial data, enabling faster, more accurate analysis AI offers powerful tools for rapid and accurate financial data analysis. By selecting the right tools, preparing your data effectively, applying advanced AI models, and continuously improving your processes, you can stay ahead. Here's a 5 step guide on how to leverage AI for quick financial data analysis. __________________ Please share your thoughts in the comments Follow me for more finance insights  To book a One-Hour Strategy Call https://lnkd.in/ev8mX3in Request services https://lnkd.in/eQdaPrP3

What is a Knowledge Base? 🤔 It’s a database of text or numeric data chunks stored by similarity, making it easy for AI to find relevant information. Chatbots use these to retrieve small, relevant pieces of data most similar to a user’s query. This means they don’t need to process all the information, just the most important bits to provide accurate answers. Follow Crystic AI to learn how knowledge bases power smarter AI systems and efficient responses!

The future belongs to enterprises that can successfully integrate BI and AI to unlock unprecedented insights, efficiencies, and opportunities through data-driven decision-making and continuous learning systems. Understanding the differences between BI and AI is crucial for organizations to choose the right solutions and leverage their combined power. We have our blog titled "Business Intelligence vs Artificial Intelligence: Know the Differences [2024]", give it a read: https://loom.ly/PKIGbk0

AI won't replace analytics anytime soon. Why? Trust is the cornerstone of decision-making. Stakeholders can't afford to rely on insights that aren't 100% reliable. AI-generated insights are still evolving. Even the slightest error can erode confidence instantly. The path to fully trusting AI in data analytics is long and winding. From data integrity to contextual understanding, AI has substantial hurdles to clear. Real-world decisions demand precision and human judgment that AI hasn't mastered yet. Would you trust AI with your company’s critical decisions?

Artificial Intelligence is neither. It’s not artificial (it’s real information we gave it) and it’s not intelligence (it’s just information) which it communicates to us. Nobody says “wow, that wooden sign knows where the bathroom it is!” We know the information it was was given to it. I am BTW so bullish on AI: I uses it everyday, and see the acceleration in all areas of my business and personal growth. Even improvements in interpersonal relationships. But it’s just us, given back to us. The smarter we are, the more it will give us.

#hashtag # AI Agents Agents are an advanced AI systems designed to make decisions and take actions like sequential reasoning, planning, execution, and memory. Acts on its own step by step without human intervention. LLMs are the AI agents which completes automatic tasks with a well-defined goals and objectives. Agents perform data analysis, strategic planning, data retrieval, and the ability to learn from past actions to solve complex problems in various business use cases. To complete various tasks which LLM agent requires a structured plan, a reliable memory to track agent functioning, and necessary tools. LLM agent’s workflow components are agent, planning, memory, and tools. ## 1. Memory The memory of agents supports complex tasks what previously completed. The memory of LLM agents is composed of two main memory types. Short-term memory captures important information related conversation, ongoing discussion, supports the model response to the immediate context, short term memory is temporary. Long-term memory captures and storing important information from previous interactions. Understanding patterns, learning from previous tasks, and retrieval the information to make better decisions in future interactions. ## 2. Planning Agents can make reasoning, split down complex tasks into smaller tasks, and develop specific plans. As tasks evolve agents can also reflect on and tune their plans with respect to real-time problems. Planning typically involves two main components one is plan formulation and another one plan reflection. ## 3. Tools Tools in agents connect with external sources which to perform certain tasks extracting information from databases and querying. It follows specific workflows to carry out tasks, gather observations, information needed to complete subtasks and fulfil user requests.

This week's BR Post share inspires readers to find 'courage' from analysing individual and organisational behaviour of the past and using that as a springboard into the future; the sooner the better. So, what are we talking about? Yes, integrating AI into our businesses and quickly and confidently celebrating the benefits. Some readers may remember the 'birth of the Internet.' It's almost impossible to imagine a world without the value of the Internet which quickly established itself as a non-negotiable core function of all business. The same opportunity is true of gen AI. Read at the link below how to make genAI an integrated approach to doing business. And if you remain uncertain, then check out our BR Company page where we share an AI generated plan for doing so which is almost identical to that shared at this link!  https://lnkd.in/gDKZv4CP